#设置数据集的TAG和数据集路径

# 使用了哪些tag和tag对应的index值
# 在收集数据集后请按这些要求使用labelme标记数据
labelme_tags = {
    '0':        0,
    "1":        1,
    "2":        2,
    '3':        3,
    "4":        4,
    "5":        5,
    "6":        6,
    "7":        7,
    "8":        8,
    "9":        9,
}

_labelme_tags = {v:k for k, v in labelme_tags.items()}

# 为了识别精确度，将宽高改为640x640
model_h = 320
model_w = 320
# model_h = 640
# model_w = 640
nl = 3
na = 3
stride=[8.,16.,32.]
anchors = [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]]


#训练集和测试集比率
labelme_train_ratio = 0.9

#数据集的JSON路径
labelme_json_path = './outputImages/'

